Support vector machine combining forecasting

被引：0

作者：

Gao Shang ^{[1
]}

Mei Liang ^{[1
]}

机构：

[1] Jiangsu Univ Sci & Technol, Sch Elect & Informat, Zhenjiang 212003, Peoples R China

来源：

Proceedings of the 2007 Chinese Control and Decision Conference | 2007年

关键词：

grey system; neural network; support vector machine; combining forecasting;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on grey system forecasting model, neural network forecasting model and support vector machine forecasting model, the linear combining forecasting model, neural network combining forecasting model and combining support vector machine forecasting model are set up. Taking the gross of waste water data of Changjiang from 1995 to 2004 as a study case, compared with single prediction methods, linear prediction method and neural network combining forecasting method, the accuracy of the support vector machine method is higher.

引用

页码：139 / 142

页数：4